首页|New Findings from China University of Geosciences Beijing in Machine Learning Pr ovides New Insights (Machine Learning Methods for Predicting Co2 Solubility In H ydrocarbons)
New Findings from China University of Geosciences Beijing in Machine Learning Pr ovides New Insights (Machine Learning Methods for Predicting Co2 Solubility In H ydrocarbons)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news reportingfrom Beijing, People’s Republic of China, by NewsRx journalists, research stated, “The application ofcarbon dioxi de (CO2) in enhanced oil recovery (EOR) has increased significantly, in which CO 2 solubilityin oil is a key parameter in predicting CO2 flooding performance. H ydrocarbons are the major constituentsof oil, thus the focus of this work lies in investigating the solubility of CO2 in hydrocarbons.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesHydrocarbonsMachine LearningOrganic Chemi calsChina University of Geosciences Beijing
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